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Updated: Aug 8, 2026

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基于机器学习和模糊推断的激光粉床融合过程中的层级融缺陷缓解方法

Chenguang Ma1, Yingjie Zhang1

  • 1Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.

ISA transactions
|November 27, 2024
PubMed
概括

本研究引入了基于图像的激光粉床融合 (LPBF) 控制,以减少融缺陷. 卷积神经网络 (CNN) 和模糊逻辑控制 (FIC) 系统可以提高零件质量和表面粗度.

关键词:
减轻缺陷的减轻 缺陷的减轻模糊的推论控制模糊的推论控制在现场监控.激光粉末床融合激光粉末床融合机器学习是机器学习.

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Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...